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Numéro de publicationUS6317599 B1
Type de publicationOctroi
Numéro de demandeUS 09/318,840
Date de publication13 nov. 2001
Date de dépôt26 mai 1999
Date de priorité26 mai 1999
État de paiement des fraisPayé
Autre référence de publicationUS7035642, US7155228, US20020006799, US20040229623, WO2000074401A1
Numéro de publication09318840, 318840, US 6317599 B1, US 6317599B1, US-B1-6317599, US6317599 B1, US6317599B1
InventeursTheodore S. Rappaport, Roger R. Skidmore
Cessionnaire d'origineWireless Valley Communications, Inc.
Exporter la citationBiBTeX, EndNote, RefMan
Liens externes: USPTO, Cession USPTO, Espacenet
Method and system for automated optimization of antenna positioning in 3-D
US 6317599 B1
Résumé
A method for engineering management and planning for the design of a wireless communications network in three-dimensions (3-D) combines computerized organization, database fusion, and radio frequency (RF) site-specific planning models. The method enables a designer to keep track of wireless system performance throughout the process of pre-bid design, installation and maintenance of a wireless system. Using a database of information that defines the desired environment, predictions of antenna coverage, system coverage and interference, and other wireless system performance criteria, such as frame error rate and network throughput, can be made. Watch points are created to ensure, in real time, that any modifications to the design of the wireless system do not degrade the performance of the system with respect to the watch point locations.
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Revendications(9)
Having thus described our invention, what we claim as new and desire to secure by Letters Patent is as follows:
1. A method for optimizing the design of a communications network, comprising the steps of:
accepting input parameters defining a physical environment modeled by a floor plan of a building in which a communications network is implemented or to be implemented;
selecting data representing a finite number of components to be used in said communications network and associated locations for said finite number of components within said physical environment;
displaying the locations of said components within said physical environment on a display;
selecting at least one point of specific interest in said physical environment; and
predicting and displaying system performance information for said at least one point of specific interest in said physical environment.
2. A method for optimizing the design of a communications network as recited in claim 1 further comprising the steps of moving at least one said component within said physical environment and updating said system performance information displayed for said at least one point of specific interest.
3. A method for optimizing the design of a communications network as recited in claim 1 further comprising the steps of replacing at least one said component within said physical environment with a substitute component having different performance characteristics, and updating said system performance infornaton displayed for said at least one point of specific interest.
4. A method for optimizing the design of a communications network as recited in claim 1 further comprising the steps of re-orienting at least one said component within said physical environment, and updating said system performance information displayed for said at least one point of specific interest.
5. A method for optimizing the design of a communications network as recited in claim 1 further comprising the steps of moving said at least one point of specific interest to a second location in said physical environment and displaying said system performance information for said second location.
6. A method for optimizing the design of a communications network as recited in claim 1 further comprising the step of obtaining data for a select group of components from a stored data set for a plurality of components, and wherein said selecting step selects said finite number of components from said select group.
7. A method for optimizing the design of a communications network as recited in claim 1 wherein said components are wireless communications components.
8. A method for optimizing the design of a communications network, comprising the steps of:
accepting input parameters defining a physical environment in which a communications network is implemented or to be implemented;
selecting data representing a finite number of components to be used in said communications network and associated locations for said finite number of components within said physical environment;
displaying the locations of said components within said physical environment on a display;
selecting at least one point of specific interest in said physical environment; and
predicting and displaying system performance information for said at least one point of specific interest in said physical environment, wherein said system performance values are displayed at said at least one point of specific interest on said display.
9. A method for optimizing the design of a communications network, comprising the steps of:
accepting input parameters defining a physical environment in which a communications network is implemented or to be implemented;
selecting data representing a finite number of components to be used in said communications network and associated locations for said finite number of components within said physical environment;
displaying the locations of said components within said physical environment on a display;
selecting at least one point of specific interest in said physical environment,
predicting and displaying system performance information for said at least one point of specific interest in said physical environment; and
displaying interconnections between said components within said physical environment.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is related to concurrently filed applications Ser. No. 09/318,842, entitled “Method and System for Managing a Real Time Bill of Materials,” filed by T. S. Rappaport and R. R. Skidmore (Docket 256016AA) and Ser. No. 09/318,841, entitled “Method And System For a Building Database Manipulator,” filed by T. S. Rappaport and R. R. Skidmore and copending application Ser. No. 09/221,985, entitled “System for Creating a Computer Model and Measurement Database of a Wireless Communication Network” filed by T. S. Rappaport and R. R. Skidmore and assigned to a common assignee, the subject matter of which is incorporated herein by reference.

DESCRIPTION BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention generally relates to engineering and management systems for the design of wireless communications networks and, more particularly, to a method for optimizing the types of and locations for antennas in wireless communication systems in any environment in the world (e.g. buildings, campuses, floors within a building, within cities, or in an outdoor setting, etc.) using a three-dimensional (3-D) representation of the environment and utilizing selected areas within the environment referenced herein as “watch points” to ensure critical wireless communication system performance is maintained.

2. Background Description

As wireless communications use increases, radio frequency (RF) coverage within buildings and signal penetration into buildings from outside transmitting sources has quickly become an important design issue for wireless engineers who must design and deploy cellular telephone systems, paging systems, or new wireless systems and technologies such as personal communication networks or wireless local area networks. Designers are frequently requested to determine if a radio transceiver location, or base station cell site can provide reliable service throughout an entire city, an office, building, arena or campus. A common problem for wireless systems is inadequate coverage, or a “dead zone,” in a specific location, such as a conference room. It is now understood that an indoor wireless PBX (private branch exchange) system or wireless local area network (WLAN) can be rendered useless by interference from nearby, similar systems. The costs of in-building and microcell devices which provide wireless coverage within a 2 kilometer radius are diminishing, and the workload for RF engineers and technicians to install these on-premises systems is increasing sharply. Rapid engineering design and deployment methods for microcell and in-building wireless systems are vital for cost-efficient build-out.

Analyzing radio signal coverage penetration and interference is of critical importance for a number of reasons. A design engineer must determine if an existing outdoor large scale wireless system, or macrocell, will provide sufficient coverage throughout a building, or group of buildings (i.e., a campus). Alternatively, wireless engineers must determine whether local area coverage will be adequately supplemented by other existing macrocells, or whether indoor wireless transceivers, or picocells, must be added. The placement of these cells is critical from both a cost and performance standpoint. If an indoor wireless system is being planned that interferes with signals from an outdoor macrocell, the design engineer must predict how much interference can be expected and where it will manifest itself within the building, or group of buildings. Also, providing a wireless system that minimizes equipment infrastructure cost as well as installation cost is of significant economic importance. As in-building and microcell wireless systems proliferate, these issues must be resolved quickly, easily, and inexpensively, in a systematic and repeatable manner.

There are many computer aided design (CAD) products on the market that can be used to design the environment used in one's place of business or campus. WiSE from Lucent Technology, Inc., SignalPro from EDX, PLAnet by Mobile Systems International, Inc., and TEMS and TEMS Light from Ericsson are examples of wireless CAD products. In practice, however, a pre-existing building or campus is designed only on paper and a database of parameters defining the environment does not readily exist. It has been difficult, if not generally impossible, to gather this disparate information and manipulate the data for the purposes of planning and implementation of indoor and outdoor RF wireless communication systems, and each new environment requires tedious manual data formatting in order to run with computer generated wireless prediction models. Recent research efforts by AT&T Laboratories, Brooklyn Polytechnic, and Virginia Tech, are described in papers and technical reports entitled “Radio Propagation Measurements and Prediction Using Three-dimensional Ray Tracing in Urban Environments at 908 MHZ and 1.9 GHz,” (IEEE Transactions on Vehicular Technology, VOL. 48, No. 3, May 1999), by S. Kim, B. J. Guarino, Jr., T. M. Willis III, V. Erceg, S. J. Fortune, R. A. Valenzuela, L. W. Thomas, J. Ling, and J. D. Moore, (hereinafter “Radio Propagation”); “Achievable Accuracy of Site-Specific Path-Loss Predictions in Residential Environments,” (IEEE Transactions on Vehicular Technology, VOL. 48, No. 3, May 1999), by L. Piazzi and H. L. Bertoni; “Measurements and Models for Radio Path Loss and Penetration Loss In and Around Homes and Trees at 5.85 Ghz,” (IEEE Transactions on Communications, Vol. 46, No. 11, November 1998), by G. Durgin, T. S. Rappaport, and H. Xu; “Radio Propagation Prediction Techniques and Computer-Aided Channel Modeling for Embedded Wireless Microsystems,” ARPA Annual Report, MPRG Technical Report MPRG-TR-94-12, July 1994, 14 pp., Virginia Tech, Blacksburg, by T. S. Rappaport, M. P. Koushik, J. C. Liberti, C. Pendyala, and T. P. Subramanian; “Radio Propagation Prediction Techniques and Computer-Aided Channel Modeling for Embedded Wireless Microsystems,” MPRG Technical Report MPRG-TR-95-08, July 1995, 13 pp., Virginia Tech, Blacksburg, by T. S. Rappaport, M. P. Koushik, C. Carter, and M. Ahimed; “Use of Topographic Maps with Building Information to Determine Antenna Placements and GPS Satellite Coverage for Radio Detection & Tracking in Urban Environments,” MPRG Technical Report MPRG-TR-95-14, Sep. 15, 1995, 27 pp., Virginia Tech, Blacksburg, by T. S. Rappaport, M. P. Koushik, M. Ahmed, C. Carter, B. Newhall, and N. Zhang; “Use of Topographic Maps with Building Information to Determine Antenna Placement for Radio Detection and Tracking in Urban Environments,” MPRG Technical Report MPRG-TR-95-19, November 1995, 184 pp., Virginia Tech, Blacksburg, by M. Ahmed, K. Blankenship, C. Carter, P. Koushik, W. Newhall, R. Skidmore, N. Zhang and T. S. Rappaport; “A Comprehensive In-Building and Microcellular Wireless Communications System Design Tool,” MPRG-TR-97-13, June 1997, 122 pp., Virginia Tech, Blacksburg, by R. R. Skidmore and T. S. Rappaport; “Predicted Path Loss for Rosslyn, VA,” MPRG-TR-94-20, Dec. 9, 1994, 19 pp., Virginia Tech, Blacksburg, by S. Sandhu, P. Koushik, and T. S. Rappaport; “Predicted Path Loss for Rosslyn, Va., Second set of predictions for ORD Project on Site Specific Propagation Prediction” MPRG-TR-95-03, Mar. 5, 1995, 51 pp., Virginia Tech, Blacksburg, by S. Sandhu, P. Koushik, and T. S. Rappaport. These papers and technical reports are illustrative of the state of the art in site-specific propagation modeling and show the difficulty in obtaining databases for city environments, such as Rosslyn, Va. While the above papers describe a research comparison of measured vs. predicted signal coverage, the works do not demonstrate a systematic, repeatable and fast methodology for creating an environmental database, nor do they report a method for visualizing and placing various environmental objects that are required to model the propagation of RF signals in the deployment of a wireless system in that environment.

While there are methods available for designing wireless networks that provide adequate system performance, these known methods involve costly and time consuming predictions of wireless system performance that, while beneficial to a designer, require too much time to be applied in a real time manner.

SUMMARY OF THE INVENTION

It is an object of the invention to provide a method for automated system performance prediction and optimization of antenna and wireless system component selection, positioning and reorientation in three-dimensions.

It is another object of the invention to provide a method of selecting a number of fixed or movable points of specific interest, or “watch points”, in an environment such that the predictive wireless system values at the watch points are dynamically updated as the watch points or antennas are repositioned or reoriented or the wireless system is altered with substitute components or with alternate designs or physical layouts.

According to the present invention, a system is provided for allowing an RF system designer to dynamically model a wireless communication system for a building, campus, city or other environment electronically. The method includes the selection and placement of various commercial hardware components, such as antennas (point, omni-directional, leaky feeders, etc.), transceivers, amplifiers, cables and the like, and allows the user to observe the effects of their placement and movement at other locations or watch points chosen by the designer. Thus, the placement of components can be refined and fine tuned prior to actual implementation of a system to ensure that all required areas of the facility are blanketed with adequate RF coverage or system performance and that there are no areas with insufficient RF coverage, known as “dead zones,” or poor network delay, known as “outages.”

The present method for rapidly determining the ideal type, location and/or orientation of the antenna components in a wireless communication system offer significant value for wireless system designers and provides a marked improvement over present day techniques.

The invention further allows the user to differentiate between the forward channel (the communication path from a fixed antenna or groups of antennas to a watch point) and the reverse channel (the communication path from one or more watch points to a fixed antenna or groups of antennas).

To accomplish the above, a 3-D model of the environment is stored as a CAD model in an electronic database. The physical, electrical, and aesthetic parameters attributed to the various parts of the environment such as walls, floors, ceilings, trees, hills, foliage, buildings, and other obstacles which effect RF waves are also stored in the database. A representation of the 3-D environment is displayed on a computer screen for the designer to view. The designer may look at the entire environment in simulated 3-D or zoom in on a particular building, floor, or other area of interest. With the mouse or other input positioning device the designer may select and view various commercial communication hardware devices from a series of pull-down menus. The performance, cost and other technical specifications for these hardware devices are stored in the computer. Again using the mouse, the designer points and clicks thereby positioning selected hardware devices throughout the displayed environment. For example, the designer may place several transceiver base stations from a particular manufacturer in various rooms in the displayed building and thereafter may connect various antenna selections to the transceivers. The designer may also select from a menu one or more of a variety of amplifiers, cables and other components, to connect and build various parts of the system. Again using the mouse, watch points may be selected and placed throughout the displayed building. Thereafter, a wireless system performance prediction model is run whereby the computer displays on the screen at each of the various watch points the RF values, for instance, received signal strength intensity (RSSI), network throughput, bit error rate, frame error rate, signal to interference ratio (SIR), and signal to noise ratio (SNR), provided by the communication system just designed. The wireless system performance model may be computed and results displayed in real time or may be selectable by the user. Further, the designer can use the positioning device to drag or otherwise move various pieces of hardware around the displayed building or even replace a hardware device and the invention will dynamically update the wireless system performance values displayed at the watch points. The orientation of an antenna can also be modified at any time and models may be run automatically or stepped manually by the user to gauge system performance changes. The watch points themselves may be repositioned by a mouse or other input device, providing the user with a means of predicting wireless system performance “on-the-fly”, in real time.

BRIEF DESCRIPTION OF THE DRAWINGS

The foregoing and other objects, aspects and advantages will be better understood from the following detailed description of a preferred embodiment of the invention with reference to the drawings, in which:

FIG. 1 shows an example of a simplified layout of a floor plan of a building;

FIG. 2 shows effective penetration of Radio Frequency (RF) transmission into a building from a macrocell;

FIG. 3 shows a simplified layout of a floor plan of a building including an outdoor macrocell and an indoor base station;

FIG. 4 shows the layout of FIG. 3, but with a revised base station designed to eliminate interference;

FIG. 5 is a flow diagram of the general method of the present invention;

FIG. 6 is a flow diagram of a method of the invention used to generate estimates based on field measurements;

FIG. 7 is a flow diagram of a method of the invention used to match best propagation parameters with measured data;

FIG. 8 is a flow diagram of a method for prediction used in the present invention;

FIGS. 9A and 9B together make up a flow diagram of a method to generate a design of a wireless network and determine its adequacy;

FIG. 10 is a flow diagram showing a method for using watch points during antenna repositioning or modification;

FIG. 11 shows a simplified layout of a floor plan of a building with a base station and watch points selected;

FIG. 12 shows a dialog box displaying the locations of the selected watch points and choices for display information;

FIG. 13 shows a simplified layout of a floor plan of a building with a base station and initial RSSI values for the selected watch points;

FIG. 14 shows a simplified layout of a floor plan of a building with a repositioned base station and changed RSSI values for the selected watch points; and

FIG. 15 shows a simplified layout of a floor plan of a building with a re-engineered base station and changed RSSI values for the selected watch points.

DETAILED DESCRIPTION OF A PREFERRED EMBODIMENT OF THE INVENTION

Using the present method, it is now possible to assess the RF environment in a systematic, organized fashion by quickly viewing signal strength, or interference levels, or other wireless system performance measures. The current embodiment is designed specifically for use with the SitePlanner™ suite of products available from Wireless Valley Communications, Inc. of Blacksburg, Va. However, it will be apparent to one skilled in the art that the method could be practiced with other products either now known or to be invented. (SitePlanner is a trademark of Wireless Valley Communications, Inc.)

Referring now to FIG. 1, there is shown a two-dimensional (2-D) simplified example of a layout of a building floor plan. The method uses 3-D computer aided design (CAD) renditions of a building, or a collection of buildings and/or surrounding terrain and foliage. However, for simplicity of illustration a 2-D figure is used. The various physical objects within the environment such as external walls 101, internal walls 102 and floors 103 are assigned appropriate physical, electrical, and aesthetic values. For example, outside walls 101 may be given a 10 dB attenuation loss, signals passing through interior walls 102 may be assigned 3 dB attenuation loss, and windows 104 may show a 2 dB RF penetration loss. In addition to attenuation, the obstructions 101, 102 and 103 are assigned other properties including reflectivity and surface roughness.

Estimated partition electrical properties loss values can be extracted from extensive propogation measurements already published, which are deduced from field experience, or the partition losses of a particular object can be measured directly and optimized instantly using the present invention combined with those methods described in the copending application Ser. No. 09/221,985, entitled “System for Creating a Computer Model and Measurement Database of a Wireless Communication Network” filed by T. S. Rappaport and R. R. Skidmore. Once the appropriate physical and electrical parameters are specified, any desired number of hardware components of RF sources can be placed in the 3-D building database, and received signal strengths (RSSI), network throughput, bit or frame error rate, or carrier-to-interference (C/I) ratios can be plotted directly onto the CAD drawing. The 3-D environment database could be built by a number of methods, the preferred method being disclosed in the concurrently filed, copending application Ser. No. 09/318,842. Traffic capacity analysis, frequency planning, co-channel interference analysis can be performed in the invention along with RF coverage prediction. Other system performance metrics may be easily incorporated by one skilled in the art through well known equations.

FIG. 2 depicts effective RF penetration into a building from the distant macrocell using a close-in virtual macrocell transmitting into the lossless distributed antenna.

Referring to FIG. 2, there are several windows 104, and even a large glass foyer 105, on the north wall of the building, so RF penetration into this part of the building is quite good, as shown by contour lines 108 and 109 for 0 dB and −30 dB, respectively. Even so, interior walls 102 cause signal levels in some areas to drop below a minimum useable signal strength of about −90 dBm, especially in some of the southern rooms, as shown by contour line 110. Consequently, macrocell coverage there will probably be poor.

Other outdoor macrocells can be modeled in the same way, and their signal strength contours plotted, to determine if hand-offs can compensate for the inadequacies of the macrocell north of the building. If not, then indoor picocells (and their distributed feed systems, antennas, and antenna patterns) can be easily added if necessary, and their performance checked using the method, to complement coverage provided by the macrocells.

The mathematical propagation models used to predict and optimize antenna positioning in a desired environment may include a number of predictive techniques models, such as those described in the previously cited and following technical reports and papers: “Interactive Coverage Region and System Design Simulation for Wireless Communication Systems in Multi-floored Indoor Environments, SMT Plus,” IEEE ICUPC '96 Proceedings, by R. R. Skidmore, T. S. Rappaport, and L. Abbott which is hereby incorporated by reference. Some simple models are also briefly described in “SitePlanner 3.16 for Windows 95/98/NT User's Manual” (Wireless Valley Communications, Inc. 1999), hereby incorporated by reference. It would be apparent to one skilled in the art how to apply other system performance models to this method.

Interference, instead of radio signal strength, is the dominant performance-limiting factor in many situations due to increased wireless communications use. Modeling interference from any source to an established or contemplated wireless system is straightforward using the method. Suppose, for example, that an indoor wireless communication system is assigned a frequency set identical to that of an outdoor wireless system. Although the indoor system may provide sufficient RSSI throughout its coverage area, interference from the outside system may still render the indoor wireless system ineffectual in certain parts of the building.

Caution must be used, however, when modeling and analyzing interference, since the detrimental effect may also depend upon technologies and/or signal processing technologies, not just signal power levels. For example, a geographic area could have similar narrowband and/or wideband in the 800 MHZ cellular bands, for instance with Advanced Mobile Phone System (AMPS) and Code Division Multiple Access (CDMA) systems, but users using either technology may be able to coexist if their respective demodulation processes reject interference provided by the undesired system. The current embodiment of this invention allows the user to select the air interface/technology being used by the wireless system being designed and automatically adjusts the prediction of interference accordingly.

FIG. 3 shows another rendition of the office building example, but an indoor wireless system 107 has been added. In this example, 800 MHZ AMPS technology is assigned to both transmitters 106 and 107. Differing wireless standards and technologies such as CDMA and Global System Mobile (GSM) could have been selected as well. The present invention uses a database to represent the exact physical air interface standards of a wide range of technologies and may be easily edited for future air interface standards. As new technologies are developed, one skilled in the art could easily modify this invention to include the new technologies.

The outdoor wireless system 106 is now interfering with the indoor network, and the effect is checked by plotting C/I contours 111 and 112 at 0 dB and −30 dB, respectively, for the outdoor system and also plotting C/I contours 113 and 114 at 0 dB and −30 dB for the indoor system. The 0 dB contour 114 shows where the desired and interfering signal levels are equal, so the interfering outdoor system's signal predominates in areas outside this contour. It is obvious that the indoor network is rendered useless throughout many parts of the building. There are a number of possible solutions that may be analyzed by a designer using the present invention.

One solution is to change the indoor system's antenna location or increase the transmitted power, add more nodes, or select a different frequency set. These changes may be made with the simple click of a mouse in the method of the invention, so that new channel sets, antenna locations, or alternative antenna systems (such as in-building distributed systems, directional antennas, or leaky feeders) may be evaluated quickly, thereby eliminating guesswork and/or costly on-site experimentation with actual hardware. Instead of displaying contours of coverage or interference, the present invention also allows the user to specify fixed or moveable watch points that indicate or display predicted performance in extremely rapid fashion at specific points in the environment.

For example, FIG. 4 illustrates how the same indoor wireless system of FIG. 3 can provide adequate C/I protection when connected to a distributed indoor antenna system consisting of a two-way splitter 401 (3 dB loss+insertion loss) and two 40 foot cable runs 402 to popular commercial indoor omnidirectional antennas 403. A look at the new 0 dB contour lines 111 and 215, and −30 dB contour lines 112 a and 216 show that the coverage inside the building is now adequate; the outdoor system 106 no longer causes significant interference in most parts of the building. Watch points allow a user to instantly determine spot coverage or other system performance without having to wait for the computation and display of contour plots.

The method allows any type of distributed antenna system to be modeled within seconds, while continuously monitoring and analyzing the component and installation cost and resulting link budget, as disclosed in the concurrently filed, copending application Ser. No. 09/318,842, enabling “what-if” designs to be carried out on the fly with minimum guess work and wasted time.

In the present embodiment of the invention, the designer identifies locations in the 3-D environmental database where certain levels of wireless system performance are desirable or critical. These locations, termed “watch points”, are points in three-dimensional space which the designer identifies by visually pointing and/or clicking with a mouse or other input device at the desired location in the 3-D environmental database. Any number of such watch points may be placed throughout the 3-D environment at any location. Watch points may be designated prior to performing a performance prediction on a given wireless communication system, or may be dynamically created by the user at any time during the course of a wireless system performance calculation using the same point and click technique described above.

Watch points provide graphical and/or textual feedback to a designer regarding the wireless system performance throughout the environment. Depending on the type of visual feedback desired by the designer, watch points may take the form of one or more of the following:

A computed number displayed as text that represents received signal strength (RSSI), signal-to-interference ratio (SIR), signal-to-noise ratio (SNR), frame error rate (FER), bit error rate (BER), or other wireless system performance metrics;

A small region of solid color whose shade and/or tint varies relative to some computed wireless system performance metric;

Colored lines linking the watch point location with the location one or more antennas in the wireless communication system, where the color, thickness, and/or other physical aspect of the connecting line varies relative to some computed wireless system performance metric and dependent upon whether the forward or reverse wireless system channel is being analyzed;

Other form designated by the designer; or

Any combination of the above.

In all cases, the graphical and/or textual representation of each watch point is updated in real-time as a result of the instantaneous computation of the wireless system performance metrics, which are linked to the 3-D environmental database, and initiated due to dynamic changes being made to the wireless system configuration and/or watch point position itself by the user. For example, if the user repositions an antenna using the mouse or other input device, the effect of doing so on the overall wireless system performance is computed and the results are displayed via changes in the appearance of watch points. In addition, numerical values predicted at the watch points are displayed in summary in a dialog window and written to a text file for later analysis. This process is described in greater detail in the following sections.

The preferred embodiment of the invention utilizes a 3-D environmental database containing information relevant to the prediction of wireless communication system performance. This information includes but is not limited to the location, and the physical and electromagnetic properties of obstructions within the 3-D environment, where an obstruction could be any physical object or landscape feature within the environment (e.g., walls, doors, windows, buildings, trees, terrain features, etc.), as well as the position and physical and electrical properties of communications hardware to be used or simulated in the environment.

The designer identifies and specifies the location and type of all wireless communication system equipment within the 3-D environmental database. This point-and-click process involves the designer selecting the desired component from a computer parts database and then visually positioning, orienting, and interconnecting various hardware components within the 3-D environmental database to form complete wireless communication systems. The preferred embodiment of the computer parts database is more fully described in concurrently filed, copending application Ser. No. 09/318,842. The resulting interconnected network of RF hardware components (commonly known as a wireless distribution or antenna system) is preferably assembled using either a drag and drop or a pick and place technique and is graphically displayed overlaid upon the 3-D environmental database, and utilizes electromechanical information available for each component via the parts list library in order to fully describe the physical operating characteristics of the wireless communication system (e.g., the system noise figure, antenna radiation characteristics, frequencies, etc.). This information is directly utilized during the prediction of wireless system performance metrics and is discussed later.

The present invention represents a dramatic improvement over prior art by providing the design engineer with instant feedback on wireless system performance metrics as the user alters the physical location transmitter, receivers, and other components, or otherwise modifies the antenna system. The current embodiment utilizes the concept of watch points to implement this. Multiple methods of display and a wide range of settings are available for the designer to use in optimizing antenna placement based upon wireless system performance values displayed at each watch point. One skilled in the art could see how watch points as they are herein described could apply to different implementations as well. Descriptions of the different techniques implemented in the current invention are provided in the following sections.

One form of the method allows the designer to dynamically alter the position, orientation, and/or type of any hardware component utilized within a wireless communication system modeled in a 3-D environmental database. Using this technique, the designer may identify watch points representing critical areas of the 3-D environment that require a certain level of wireless system performance. Such areas could include the office of the Chief Executive Officer (CEO) of a company, a conference room, a city park, or the office of a surgeon on call. Next the designer selects the component of interest within the wireless system. In the present invention, this would be the selection of an antenna or leaky feeder antenna, for example, but one skilled in the art could see that this could be any physical antenna system component. Once the desired hardware component is selected, the designer may begin making changes to the state of the component. For example, by moving the mouse or other input device cursor, the user could effectively relocate the selected component to another position in the 3-D environmental database. This involves the user visually moving the mouse cursor, in real-time, such that the cursor resides in another portions of the 3-D database. The present invention recalculates wireless system performance based upon RSSI, SIR, SNR, FER, BER, or other metric, incorporating the user's desired change in the position of the selected component.

The calculations combine the electromechanical properties of each component in the wireless communication system (e.g., noise figure, attenuation loss or amplification, antenna radiation pattern, etc.), the electromagnetic properties of the 3-D environmental database, and radio wave propagation techniques (detailed later) to provide an estimate of the wireless system performance. Calculations are performed at each watch point the user has identified, and the graphical display of the watch point is updated to reflect the result of the calculations.

As the user moves the mouse cursor and effectively repositions the selected component, the overall performance of the wireless communication system may be altered. For example, if the selected component is an antenna, repositioning the antenna changes the origination point of radio wave signals being broadcast from the antenna, and can thus dramatically change the reception of adequate RF signal throughout the environment. Because the graphical display of the watch points is updated in real-time as the selected component is repositioned, the designer is provided instant feedback on the revised wireless system performance, and can make design decisions based upon the viability of multiple proposed locations and/or wireless system configurations rapidly.

In addition to the functionality described above, the designer is free to add additional watch points in any location within the 3-D environmental database at any time during a wireless system performance prediction. In the current implementation, the designer clicks with the mouse or other input device on the desired location in the 3-D environmental database to create a new watch point at the selected location that is then updated throughout the remainder of the performance prediction.

In a similar fashion, the preferred embodiment enables a designer to reorient a selected antenna in real-time with respect to any coordinate axis while the graphical display of all drawing watch points is updated to reflect the revised wireless system performance metrics as a result of the new antenna orientation.

In a similar fashion, a designer may replace an existing hardware component in the wireless communication system with any component available from the parts list library. In doing so, the changes to the wireless communication system performance as a result of the replacement is reflected in the graphical display of the watch points.

In a similar fashion, a designer may selectively include or exclude any subset of components within the wireless communication system while selecting components to involve in the wireless system performance calculation. For example, a designer could consider the effect of repositioning a single antenna, or could consider the combined, composite effect on the watch points as individual antennas are repositioned within a wireless system network consisting of additional, fixed antenna placements.

In a similar fashion, the designer may choose to allow watch points to be mobile. That is, instead of positioning a watch point and having the graphical display of the watch point reflect the changing wireless system performance metric, the designer could instead identify a watch point whose position is mobile but whose graphical display remains constant. In this scenario, the position of the watch point fluctuates along a linear path traced between itself and the current location of the mouse cursor until a position within the 3-D database is found at which the desired level of wireless system performance metric is maintained. For example, the designer may create a watch point to maintain a constant graphical display synonymous with −65 dBm RSSI. As the user repositions, reorients, or otherwise alters components within the wireless communication system, the watch point alters its position within the 3-D environmental database until a position is found at which a calculated value of −65 dBm RSSI is determined.

In addition to enabling a designer to reposition, reorient, and/or replace wireless system components in real-time while visualizing the impact of such changes at selected watch points within the 3-D database, the user may choose to maintain the current configuration of the wireless communication system and instead create a single, mobile watch point. The watch point thus created is dynamically repositioned within the 3-D environmental database in real-time by the user by simply repositioning the mouse cursor. Positioning the mouse cursor at a given location within the 3-D environmental database is equivalent to repositioning the watch point to match that location. In the present invention, this technique is used to allow the mobile watch point to represent a mobile user in the 3-D environmental database. As in the previous scenarios, the graphical display of the watch point is updated in real-time to reflect predicted wireless system performance metrics at the watch point position. The designer is free to select individual subsets of wireless system components to involve in the calculations of wireless system performance. Thus the graphical display of the watch point may reflect the performance metrics specific to individual wireless system components or the composite performance metrics due to the combined effect of multiple selected components. For example, the radiating power of multiple antennas can be combined into a single measure of received signal strength.

The two primary uses of the single mobile watch point technique involve the analysis of the forward link (or down link) and reverse link (or up link) of the wireless system. The forward link of a wireless communication system involves the flow of radio signals from the fixed wireless system to the mobile user, while the reverse link of a wireless communication system involves the flow of radio signals from the mobile user to the fixed wireless system. In the present embodiment, line segments are drawn between the mobile watch point (which is also the mouse cursor) to each antenna the designer has included in the wireless system performance prediction. In addition, the individual or subsets of antennas identified as having the best wireless system performance characteristics are differentiated from the other antennas by altering the color and/or other physical appearance of the connector lines between the antennas and the watch point. As the designer then repositions the mouse cursor, the selected location for the watch point in the 3-D database, and therefore the effective location of the mobile user, is adjusted to match that of the mouse cursor. The wireless system performance metrics are recalculated at the watch point location for the antenna components selected by the designer, and the graphical display of the watch point and all connector lines is updated accordingly.

Another improvement over the prior art is the ability to dynamically model the repositioning of leaky feeder antennas and visualize the effects on wireless system performance. A leaky feeder antenna can be thought of as a cable with many holes regularly spaced along its length. Such a cable would experience a signal loss or emanation at every hole and would thus radiate RF energy along the entire cable length. Leaky feeder antenna, or lossy coaxial cable as it is sometimes referred, can be thought of as analogous to a soaker hose where water flows in at the head of the hose and leaks out through a series of holes. The present method allows the designer to dynamically re-position a portion of the leaky feeder antenna and see in real time the effects on wireless system performance at the specified watch points. In the preferred embodiment, distributed antenna systems can be analyzed in terms of the contributions of individual antennas or collections of antennas taken as a whole, providing “composite” results in the latter case.

Referring to FIG. 5, there is shown the general method of the invention. Before one can run an automated predictive model on a desired environment, a 3-D electronic representation of that environment must be created in function block 10. The preferred method for generating a 3-D building or environment database is disclosed in the concurrently filed, copending application Ser. No. 09/318,841. The resulting definition utilizes a specially formatted vector database format and comprises lines and polygons rather than individual pixels (as in a raster format). The arrangement of lines and polygons in the database corresponds to obstructions/partitions in the environment. For example, a line in a database could represent a wall, a door, tree, a building wall, or some other obstruction/partition in the modeled environment.

From the standpoint of radio wave propagation, each of the obstruction/partition in an environment has several electromagnetic properties. When a radio wave signal intersects a physical surface, several things occur. A certain percentage of the radio wave reflects off of the surface and continues along an altered trajectory. A certain percentage of the radio wave penetrates through or is absorbed by the surface and continues along its course. A certain percentage of the radio wave is scattered upon striking the surface. The electromagnetic properties given to the obstruction/partitions define this interaction. Each obstruction/partitions has parameters that include an attenuation factor, surface roughness, and reflectivity. The attenuation factor determines the amount of power a radio signal loses upon striking a given obstruction. The reflectivity determines the amount of the radio signal that is reflected from the obstruction. The surface roughness provides information used to determine how much of the radio signal is scattered and/or dissipated upon striking an obstruction of the given type.

Once this 3-D database of obstruction data has been built, the design engineer performs computer aided design and experimentation of a wireless network to be deployed in the modeled environment in function block 11, to be described later. Cost and wireless system performance target parameters, transmitters, channel lists, placement options and antenna systems are all taken into account by the present invention.

In order to fine tune the experimental predictions, RF measurements may be optionally taken in function block 12. A preferred method for collecting RF measurements is disclosed in copending application Ser. No. 09/221,985, supra. If necessary, database parameters that define the partition/obstruction characteristics may be modified using RF measurements as a guide to more accurately represent the modeled 3-D environment in function block 13.

The results of the predictive models may be displayed in 3-D overlaid with the RF measurement data, if any, at any time in function block 14. The design engineer analyzes the differences in the predicted and actual measurements in function block 15, and then modifies the RF predictive models, if needed, in function block 16. If necessary, the 3-D environment database may be modified based on the actual measurements to more accurately represent the wireless system coverage areas in function block 10, and so on iteratively until done. The designer can optionally continue with any other step in this process, as desired.

The method of invention may be used in a variety of ways depending on the goals of the design engineer. FIG. 6 shows a variant on the above method used to generate estimates based on RF measurements. A 3-D database of the environment must still be generated in function block 10. Field measurements are collected in function block 12. The RF measurement data are then incorporated into the drawing of the environment in function block 61. The design engineer may then generate estimates of power level and location of potential transmitters in function block 62.

FIG. 7 shows a variant of the method used to achieve optimal prediction accuracy using RF measured data. Once again, a 3-D database of the environment is generated in function block 10. However, before collecting field measurements, the design engineer creates a channel plan with “virtual” macrocell locations and power levels in function block 71. The field measurements are then collected in function block 12 and the “virtual” locations of interfering transmitters can be determined in function block 72. The best propagation parameters are then matched with measured data from the interferers in function block 73.

A more detailed description of the method for prediction used in the present invention is now described. Referring to FIG. 8, the 3-D environment definition is input in function block 801. The first step required before predicting the performance of the wireless communication system is to model the wireless system with the 3-D environment. Antennas and types of related components and locations are selected in function block 802. The desired antennas are chosen from a parts list of wireless hardware devices that may include a variety of commercially available devices. Each antenna is placed at a desired location within the environment, for instance, in a specific room on a floor of a building or on a flag pole in front of a building. A number of other components may be created and placed either within or connected to each antenna system. These components include, but are not limited to: cables, leaky feeder antennas, splitters, connectors, amplifiers, or any other user defined component.

FIGS. 9A and 9B show a method for adding antenna systems to a desired environment and generally for running trade-off analyses. First, the designer positions and defines outdoor wireless communication systems, if necessary in function block 901. Next, the designer positions and defines indoor base stations in function block 902. The methods of function blocks 901 and 902 differ in that the components of indoor wireless system will typically be different than an outdoor wireless system. In both cases, the designer is guided through a series of pull down menus and point-and-click options to define the location, type of hardware components and associated performance characteristics of the antenna systems. This data is stored in a database, that also contains cost and manufacturing specific information to produce a complete Bill of Materials list automatically, to be viewed at any time.

In order to fully describe an antenna system in a newly created (or to be modified) wireless system, the designer specifies the air interface/technology and frequencies associated with the wireless system in function block 903. The designer then lays out the full antenna system for the wireless network in function block 904. Components such as base stations, cabling, connectors, amplifiers and other items of the antenna system are then selected from a parts list library containing information on commercially available hardware components in function block 905. Next, the air interface and technology specific parameters are assigned and channel frequencies are customized for the wireless system in function block 906. The channel frequencies are selected from pre-assigned channel clusters and assigned to the wireless system in function block 907. An antenna system is then configured in function block 908, selecting antennas from the parts list library as described above. The antennas are placed on the floor plan in function block 909 using a point and click of a mouse or other positioning device to visually place each component in the 3-D database.

At this or any time after a component has been placed on a floor, the designer may view a bill of materials in function block 910. If necessary, the parts list may be modified to add or delete components or modify a component's cost or performance characteristics in function block 911. Components may be replaced or swapped for similar components for a quick trade-off analysis of both wireless system performance and overall cost in function block 912. Components may be added, deleted or modified to more fully define the wireless communications system in function block 913. The designer may redisplay the view of the environment including the wireless communication system, RF measurement data, and/or wireless system predicted performance results in a variety of forms, including 2-D, 3-D wireframe, 3-D wireframe with hidden lines, 3-D shaded, 3-D rendered or 3-D photorealistic rendering, at any time in function block 914.

Typically, a designer will add wireless system components in succession, where each newly placed system component connects to a previously positioned component in the wireless network. One should note that cables and leaky feeder antennas are defined by a series of vertices connected by lines representing lengths of cabling as they are placed on a floor. Cables and leaky feeders may also stretch vertically across building floors, down the sides of buildings, through elevator shafts, etc., simply by adding a vertex in the cable, changing the vertical height, and then continuing to place cable in new locations, in function block 915. The designer does not need to manipulate a 3-D view of the environment and attempt to guide the cables vertically in the 3-D model. The designer may repeat any of the steps in this process, in any order, in the present invention.

Referring again to FIG. 8, once the 3-D environment has been defined and antennas, cables and other objects have been selected and located, the wireless system performance prediction models may be run in function block 803. A variety of different such models are available and may be used in succession, or alone to generate a sufficient number of “what-if” scenarios for predicting and optimizing of antenna placements and component selections.

Referring to FIG. 10, a method for predictive modeling according the invention is shown. First, the designer selects the desired wireless system performance prediction model in function block 1001. Preferred models are:

Wall/floor Attenuation Factor, Multiple Path Loss Exponent Model,

Wall/floor Attenuation Factor, Single Path Loss Exponent Model,

True Point-to-Point Multiple Path Loss Exponent Model,

True Point-to-Point Single Path Loss Exponent Model,

Distance Dependent Multiple Breakpoint Model,

Distance Dependent Multiple Path Loss Exponent Model,

Distance Dependent Single Path Loss Exponent Model, or

other models, such as ray tracing and statistical models, as desired by the design engineer.

The physical and electrical properties of obstructions in the 3-D environment are set in function block 1002. Although not all parameters are used for every possible predictive model, one skilled in the art would understand which parameters are necessary for a selected model. Parameters that may be entered include:

Prediction configuration—RSSI, C/I, and/or C/N (carrier to noise ratio);

Mobile Receiver (RX) Parameters—power, antenna gain, body loss, portable RX noise figure, portable RX height above floor;

Propagation parameters—

Partition Attenuation Factors

Floor Attenuation Factors

Path Loss Exponents

Multiple Breakpoints

Reflectivity

Surface Roughness

Antenna Polarization

other parameters as necessary for a given model

The designer may save sets of physical, electrical and aesthetic parameters for later re-use. If such a parameter set has been previously saved, the designer may load that set in function block 1003, thereby overwriting any parameters already in selected.

A designer then may select a number of watch points in function block 1004 to monitor for wireless system performance. Referring now to FIG. 11, there is shown a simplified layout of a floor plan with a base station 1100. The designer may use a mouse or other positioning device to point and click to any number of locations in the floor plan to select critical areas, or watch points, for monitoring. Here, for instance, four watch points 1101, 1102, 1103 and 1104 have been selected.

FIG. 12 shows a display, that lists by location, watch points selected for the current prediction. The designer may then select predictions for RSSI, signal to interference ratio (SIR) or signal to noise ratio (SNR). In addition, the designer can see changes in predicted values for each watch point in real time as the mouse is moved, or can choose to select new antenna positions specifically by clicking on a new location. As the designer repositions the mouse cursor, the antenna(s) selected prior to initiating the prediction are effectually repositioned and/or relocated according to position of the cursor. Once all watch points are selected, the prediction model is run. An alternative embodiment is that watch points could be entered and modified on the fly, as the prediction model is being run, rather than defined only prior to running the model. Another alternative embodiment is that RF values at the watch points are updated continuously as the mouse is repositioned, without a click being necessary.

FIG. 13 shows the floor plan of FIG. 11 with the initial RSSI values for each watch point 1101, 1102, 1103 and 1104 also shown. The designer may move the antenna 1100 to a new location and monitor the same watch points for coverage. FIG. 14 shows the floor plan of FIGS. 11 and 13 with the antenna 1100 moved to a new location 1400. The RSSI values at each watch point 1101, 1102, 1103, and 1104 are automatically updated with values associated with the new location of the antenna. Alternatively, the designer may choose to modify the components within the antenna system 1100 for performance or cost reasons. FIG. 15 shows the floor plan of FIGS. 11 and 13 with a base station 1100 a at the same location, but with a higher performance antenna component. The RSSI values at each watch point 1101, 1102, 1103, and 1104 are again automatically updated with values associated with the new wireless system performance parameters.

Referring again to FIG. 10, for RF coverage models, the coverage areas and values are displayed in function block 1005. If so desired, the designer modifies the electrical parameters of the obstructions, or modified components of antenna systems, or modifies antenna system locations or orientation, etc. in function block 1006 before running another prediction model in function block 1001.

Referring again to FIG. 8, after running a number of models, the design engineer may determine that RF coverage is optimal in decision block 804. If so, then depending on the results either a change in the location of antenna(s) and components will be desired or possibly just a substitution of components without a location change. For instance, even though the coverage may be more than adequate, the total cost of the wireless system could be prohibitive. A method for optimizing the costs using a dynamic, real time, bill of materials management system is disclosed in the concurrently filed, copending application Ser. No. 09/318,842. Regardless, if the wireless network as currently modeled is not deemed optimal, then the method would continue again in function block 802 to re-select the components.

Once the design is as desired, then the 3-D database holds all of information necessary to procure the necessary components in the Bill of Materials. The locations of each component are clearly displayed, and a visual 3-D representation can be viewed as a guide.

While the invention has been described in terms of a single preferred embodiment, those skilled in the art will recognize that the invention can be practiced with modification within the spirit and scope of the appended claims.

Citations de brevets
Brevet cité Date de dépôt Date de publication Déposant Titre
US5491644 *7 sept. 199313 févr. 1996Georgia Tech Research CorporationCell engineering tool and methods
US5561841 *21 janv. 19931 oct. 1996Nokia Telecommunication OyMethod and apparatus for planning a cellular radio network by creating a model on a digital map adding properties and optimizing parameters, based on statistical simulation results
US5598532 *21 oct. 199328 janv. 1997Optimal NetworksMethod and apparatus for optimizing computer networks
US5794128 *20 sept. 199511 août 1998The United States Of America As Represented By The Secretary Of The ArmyApparatus and processes for realistic simulation of wireless information transport systems
US5949988 *3 avr. 19977 sept. 1999Lucent Technologies Inc.Prediction system for RF power distribution
US5953669 *11 déc. 199714 sept. 1999Motorola, Inc.Method and apparatus for predicting signal characteristics in a wireless communication system
US5987328 *24 avr. 199716 nov. 1999Ephremides; AnthonyMethod and device for placement of transmitters in wireless networks
Citations hors brevets
Référence
1"Site Planner 3.16 for Windows 95/98/NT User's Manual" (Wireless Valley Communications, Inc. 1999), pp. 5-148 to 5-156.
2Bell Laboratories, "Wise-A Wireless System Engineering Tool", pub. date unknown, web pages from bell-labs.com.
3Bell Laboratories, "Wise—A Wireless System Engineering Tool", pub. date unknown, web pages from bell-labs.com.
4C. M. Peter Ho, et al., "Antenna Effects on Indoor Obstructed Wireless Channels and a Deterministic Image-Based Wide-Based Propagation Model for In-Building Personal Communications Systems", International Journal of Wireless Information Networks, vol. 1, No. 1, 1994.
5D. Ullmo et al., "Wireless Propagation in Buildings: A Statistic Scattering Approach", IEEE Transactions on Vehicular Technology, vol. 48, No. 3, May 1999.
6EDX Engineering, Inc., "EDX Engineering-Products: Version 2.0 of EDX SignalPro(tm)", pub. date unknown, web pages from .edx.com.
7EDX Engineering, Inc., "EDX Engineering—Products: Version 2.0 of EDX SignalPro(tm)", pub. date unknown, web pages from .edx.com.
8Ericsson Wireless Communications, "TEMS Total-TEMS Frequently asked questions-general", pub. date unknown, web pages from. ericsson.com.
9Ericsson Wireless Communications, "TEMS Total-TEMS Light Frequently asked questions-general", pub. date unknown, web pages from .ericsson.com.
10Ericsson Wireless Communications, "TEMS Total-TEMS Makes Your Net Work", pub. date unknown, web pages from .ericsson.com.
11Ericsson Wireless Communications, "TEMS Total-Total-TEMS Product Overview", pub. date unknown, web pages from. ericsson.com.
12Ericsson Wireless Communications, "TEMS Total—TEMS Frequently asked questions—general", pub. date unknown, web pages from. ericsson.com.
13Ericsson Wireless Communications, "TEMS Total—TEMS Light Frequently asked questions—general", pub. date unknown, web pages from .ericsson.com.
14Ericsson Wireless Communications, "TEMS Total—TEMS Makes Your Net Work", pub. date unknown, web pages from .ericsson.com.
15Ericsson Wireless Communications, "TEMS Total—Total—TEMS Product Overview", pub. date unknown, web pages from. ericsson.com.
16G. Durgin, et al., "Measurements and Models for Radio Path Loss and Penetration Loss in and Around Homes and Trees at 5.85 GHz", IEEE Transactions on Communications, vol. 46, No. 11, Nov. 1998.
17L. Piazzi et al., "Achievable Accuracy of Site-Specific Path-Loss Predictions in Residential Environments", IEEE Transactions on Vehicular Technology, vol. 48, No. 3, May 1999.
18M. Panjwani et al., "Interactive Computation of Coverage Regions for Wireless Communication in Multifloored Indoor Environments", IEEE Journal on Selected Areas in Communications, vol. 14, No. 3, Apr. 1996.
19Mobile Systems International, "Planet", pub. date unknown, web pages from .msi-swe.se.
20R. Skidmore et al., "A Comprehensive In-Building and Microcellular Wireless Communications System Design Tool", The Bradley Department of Electrical Engineering, MPRG-TR-97-13, Jun. 9, 1997.
21R. Skidmore et al., "Interactive Coverage Region and System Design Simulation for Wireless Communication Systems in Multi-floored Indoor Environments, SMT Plus" IEEE ICUPC '96 Proceedings.
22S. Kim et al., "Radio Propagation Measurements and Prediction Using Three-Dimensional Ray Tracing in Urban Environments at 908 MHz and 1.9 GHz", IEEE Transactions on Vehicular Technology, vol. 48, No. 3, May 1999.
23S. Sandip et al., "Predicted Path Loss for Rosslyn, VA", The Bradley Department of Electrical Engineering, First Set of Predictions, MPRG TR-94-20, Virginia Tech, Dec. 9, 1994.
24S. Sandip et al., "Predicted Path Loss Rosslyn, VA", The Bradley Department of Electrical Engineering, MPRG TR-95-03, Virginia Tech, Mar. 5, 1995.
25S. Seidel et al., "Site-Specific Propagation Prediction for Wireless In-Building Personal Communications System Design", IEEE Transactions on Vehicular Technology, vol. 43, No. 4, Nov. 1994.
26T. Rappaport et al., "Use of Topographic Maps With Building Information to Determine Antenna Placements and GPS Satellite Coverage for radio Detection and Tracking in Urban Environments", The Bradley Department of Electrical Engineering, MPRG-TR-95-19, Nov. 1995.
27T. Rappaport et al., "Use of Topographic Maps With Building Information to Determine Antenna Placements and GPS Satellite Coverage for radio Detection and Tracking in Urban Environments", The Bradley Department of Electrical Engineering, Quarterly Report, Sep. 1995.
28T. Rappaport, et al., "Radio Propagation Prediction Techniques and Computer-Aided Channel Modeling for Embedded Wireless Microsystems", The Bradley Department of Electrical Engineering, ARPA, Annual Report, Jul. 1994.
29T. Rappaport, et al., "Radio Propagation Prediction Techniques and Computer-Aided Channel Modeling for Embedded Wireless Microsystems", The Bradley Department of Electrical Engineering, ARPA, Semi-Annual Report, Jul. 1995.
Référencé par
Brevet citant Date de dépôt Date de publication Déposant Titre
US6487417 *24 nov. 199926 nov. 2002Verizon Laboratories Inc.Method and system for characterizing propagation of radiofrequency signal
US6499006 *14 juil. 199924 déc. 2002Wireless Valley Communications, Inc.System for the three-dimensional display of wireless communication system performance
US6625454 *4 août 200023 sept. 2003Wireless Valley Communications, Inc.Method and system for designing or deploying a communications network which considers frequency dependent effects
US66744035 sept. 20026 janv. 2004Newbury Networks, Inc.Position detection and location tracking in a wireless network
US67217694 août 200013 avr. 2004Wireless Valley Communications, Inc.Method and system for a building database manipulator
US677195725 nov. 20023 août 2004Interdigital Technology CorporationCognition models for wireless communication systems and method and apparatus for optimal utilization of a radio channel based on cognition model data
US685094626 mai 19991 févr. 2005Wireless Valley Communications, Inc.Method and system for a building database manipulator
US687695123 avr. 20025 avr. 2005Wireless Valley Communications, Inc.Method for creating a computer model and measurement database of a wireless communication network
US697106328 juil. 200029 nov. 2005Wireless Valley Communications Inc.System, method, and apparatus for portable design, deployment, test, and optimization of a communication network
US6973622 *25 sept. 20006 déc. 2005Wireless Valley Communications, Inc.System and method for design, tracking, measurement, prediction and optimization of data communication networks
US701975317 déc. 200128 mars 2006Wireless Valley Communications, Inc.Textual and graphical demarcation of location from an environmental database, and interpretation of measurements including descriptive metrics and qualitative values
US7020461 *28 juin 200128 mars 2006Nec CorporationPropagation environment notification methods and notification systems in radio communication systems, and record media recording control programs thereof
US7035643 *10 avr. 200125 avr. 2006T-Mobile Deutschland GmbhMethod for planning mobile radio coverage inside buildings
US7047014 *5 nov. 200416 mai 2006Airespace, Inc.Raster-to-vector conversion operations adapted to modeling of RF propagation
US705510722 sept. 200030 mai 2006Wireless Valley Communications, Inc.Method and system for automated selection of optimal communication network equipment model, position, and configuration
US70762462 mars 200411 juil. 2006Interdigital Technology CorporationCognition models for wireless communication systems and method and apparatus for optimal utilization of a radio channel based on cognition model data
US70856974 août 20001 août 2006Motorola, Inc.Method and system for designing or deploying a communications network which considers component attributes
US70961604 nov. 200222 août 2006Wireless Valley Communications, Inc.System and method for measuring and monitoring wireless network performance in campus and indoor environments
US7096173 *4 août 200022 août 2006Motorola, Inc.Method and system for designing or deploying a communications network which allows simultaneous selection of multiple components
US71107562 août 200419 sept. 2006Cognio, Inc.Automated real-time site survey in a shared frequency band environment
US711698816 mars 20043 oct. 2006Airespace, Inc.Location of wireless nodes using signal strength weighting metric
US7142863 *25 févr. 200028 nov. 2006Nortel Networks LimitedMethod of deploying a fixed wireless access communications network such that a specified level of link performance is maintained
US715522817 juin 200426 déc. 2006Wireless Valley Communications, Inc.Method and system for analysis, design, and optimization of communication networks
US7162507 *3 août 20019 janv. 2007Conexant, Inc.Wireless network site survey tool
US7164883 *18 sept. 200116 janv. 2007Motorola. Inc.Method and system for modeling and managing terrain, buildings, and infrastructure
US717120826 juin 200330 janv. 2007Motorola, Inc.Method and system, with component kits for designing or deploying a communications network which considers frequency dependent effects
US7184770 *5 mars 200327 févr. 2007Aruba Networks, Inc.System and method for positioning and calibrating wireless network devices
US718477719 nov. 200327 févr. 2007Cognio, Inc.Server and multiple sensor system for monitoring activity in a shared radio frequency band
US71970131 mars 200427 mars 2007Cisco Technology, Inc.Quality evaluation for wireless communication networks
US72059385 mars 200417 avr. 2007Airespace, Inc.Wireless node location mechanism responsive to observed propagation characteristics of wireless network infrastructure signals
US722192713 févr. 200422 mai 2007Trapeze Networks, Inc.Station mobility between access points
US722498516 janv. 200329 mai 2007Lockheed Martin, Corp.Antenna segment system
US724305413 mars 200310 juil. 2007Wireless Valley Communications, Inc.Method and system for displaying network performance, cost, maintenance, and infrastructure wiring diagram
US7246045 *4 août 200017 juil. 2007Wireless Valley Communication, Inc.System and method for efficiently visualizing and comparing communication network system performance
US726040820 févr. 200421 août 2007Airespace, Inc.Wireless node location mechanism using antenna pattern diversity to enhance accuracy of location estimates
US726915118 sept. 200211 sept. 2007Cognio, Inc.System and method for spectrum management of a shared frequency band
US728651528 janv. 200423 oct. 2007Cisco Technology, Inc.Method, apparatus, and software product for detecting rogue access points in a wireless network
US728683327 févr. 200423 oct. 2007Airespace, Inc.Selective termination of wireless connections to refresh signal information in wireless node location infrastructure
US728683510 sept. 200423 oct. 2007Airespace, Inc.Enhanced wireless node location using differential signal strength metric
US72869714 oct. 200423 oct. 2007Wireless Valley Communications, Inc.System and method for efficiently visualizing and comparing communication network system performance
US729308822 nov. 20056 nov. 2007Cisco Technology, Inc.Tag location, client location, and coverage hole location in a wireless network
US729511918 nov. 200313 nov. 2007Wireless Valley Communications, Inc.System and method for indicating the presence or physical location of persons or devices in a site specific representation of a physical environment
US729916817 sept. 200220 nov. 2007Wireless Valley Communications, Inc.System for the three-dimensional display of wireless communication system performance
US73133937 juil. 200625 déc. 2007Interdigital Technology CorporationCognition models for wireless communication systems and method and apparatus for optimal utilization of a radio channel based on cognition model data
US7313506 *2 juil. 200425 déc. 2007Leica Geosystems Hds, Inc.Advanced applications for 3-D autoscanning LIDAR system
US73155338 avr. 20051 janv. 2008Cisco Technology, Inc.Radio plan generator
US735891228 avr. 200615 avr. 2008Ruckus Wireless, Inc.Coverage antenna apparatus with selectable horizontal and vertical polarization elements
US737982923 févr. 200627 mai 2008Siemens AktiengesellschaftMethod and apparatus for automated characterization of objects with unknown RF characteristics
US740890715 août 20035 août 2008Cisco Technology, Inc.System and method for management of a shared frequency band using client-specific management techniques
US742426822 avr. 20039 sept. 2008Cisco Technology, Inc.System and method for management of a shared frequency band
US743369618 mai 20047 oct. 2008Cisco Systems, Inc.Wireless node location mechanism featuring definition of search region to optimize location computation
US743712728 juil. 200514 oct. 2008Symbol Technologies, Inc.Method and system for determining existence of a predetermined wireless network coverage condition in a wireless network
US74441458 août 200628 oct. 2008Cisco Technology, Inc.Automated real-time site survey in a shared frequency band environment
US746083729 sept. 20042 déc. 2008Cisco Technology, Inc.User interface and time-shifted presentation of data in a system that monitors activity in a shared radio frequency band
US749899626 déc. 20063 mars 2009Ruckus Wireless, Inc.Antennas with polarization diversity
US74989991 nov. 20053 mars 2009Ruckus Wireless, Inc.Circuit board having a peripheral antenna apparatus with selectable antenna elements and selectable phase shifting
US75026172 sept. 200410 mars 2009Cisco Technology, Inc.Rapid search for optimal wireless network configuration
US750544720 sept. 200517 mars 2009Ruckus Wireless, Inc.Systems and methods for improved data throughput in communications networks
US751168025 oct. 200731 mars 2009Ruckus Wireless, Inc.Minimized antenna apparatus with selectable elements
US751591621 sept. 20047 avr. 2009Veriwave, IncorporatedMethod and apparatus for multi-dimensional channel sounding and radio frequency propagation measurements
US75254865 mars 200728 avr. 2009Ruckus Wireless, Inc.Increased wireless coverage patterns
US753289621 mai 200712 mai 2009Cisco Systems, Inc.Wireless node location mechanism using antenna pattern diversity to enhance accuracy of location estimates
US75585921 sept. 20057 juil. 2009Cisco Technology, Inc.Radio planning for WLANS
US755885221 août 20077 juil. 2009Cisco Technology, Inc.Tag location, client location, and coverage hole location in a wireless network
US758385523 févr. 20061 sept. 2009Siemens AktiengesellschaftSignal source data input for radio frequency planning
US75965189 oct. 200229 sept. 2009Wireless Valley Communications, Inc.Method and system for generating a real time bill of materials and evaluating network performance
US76165553 oct. 200610 nov. 2009Cisco Technology, Inc.Minimum variance location estimation in wireless networks
US76269694 oct. 20061 déc. 2009Cisco Technology, Inc.Relative location of a wireless node in a wireless network
US763910628 avr. 200629 déc. 2009Ruckus Wireless, Inc.PIN diode network for multiband RF coupling
US76463439 nov. 200712 janv. 2010Ruckus Wireless, Inc.Multiple-input multiple-output wireless antennas
US765263228 avr. 200626 janv. 2010Ruckus Wireless, Inc.Multiband omnidirectional planar antenna apparatus with selectable elements
US766923219 déc. 200823 févr. 2010Ruckus Wireless, Inc.Dynamic authentication in secured wireless networks
US767547424 janv. 20089 mars 2010Ruckus Wireless, Inc.Horizontal multiple-input multiple-output wireless antennas
US768064431 oct. 200316 mars 2010Wireless Valley Communications, Inc.Method and system, with component kits, for designing or deploying a communications network which considers frequency dependent effects
US769694630 avr. 200713 avr. 2010Ruckus Wireless, Inc.Reducing stray capacitance in antenna element switching
US771136023 févr. 20064 mai 2010Siemens AktiengesellschaftRadio frequency planning with consideration of inter-building effects
US771168724 mars 20044 mai 2010Wireless Valley Communications, Inc.Method and system for using raster images to create a transportable building database for communications network engineering and management
US7716585 *28 août 200311 mai 2010Microsoft CorporationMulti-dimensional graphical display of discovered wireless devices
US772470314 janv. 200625 mai 2010Belden, Inc.System and method for wireless network monitoring
US772470417 juil. 200625 mai 2010Beiden Inc.Wireless VLAN system and method
US7738386 *18 mai 200715 juin 2010Welch Allyn, Inc.Method to ensure that life-critical data is transported effectively and safely
US778807710 juil. 200731 août 2010Toyota Motor Engineering & Manufacturing North America, Inc.Method for determining a sky view of an antenna
US778870318 avr. 200731 août 2010Ruckus Wireless, Inc.Dynamic authentication in secured wireless networks
US78357493 oct. 200616 nov. 2010Cisco Technology, Inc.Location inspector in wireless networks
US784009130 mars 200923 nov. 2010Siemens AktiengesellschaftSignal source data input for radio frequency planning
US784429812 juin 200630 nov. 2010Belden Inc.Tuned directional antennas
US78652132 déc. 20094 janv. 2011Trapeze Networks, Inc.Tuned directional antennas
US786571328 déc. 20074 janv. 2011Trapeze Networks, Inc.Application-aware wireless network system and method
US787306128 déc. 200618 janv. 2011Trapeze Networks, Inc.System and method for aggregation and queuing in a wireless network
US78771139 sept. 200825 janv. 2011Ruckus Wireless, Inc.Transmission parameter control for an antenna apparatus with selectable elements
US78806832 mars 20091 févr. 2011Ruckus Wireless, Inc.Antennas with polarization diversity
US78908214 oct. 200715 févr. 2011Veriwave, Inc.Channel impairment emulator systems and methods
US789949712 juil. 20051 mars 2011Ruckus Wireless, Inc.System and method for transmission parameter control for an antenna apparatus with selectable elements
US79040924 janv. 20078 mars 2011Cisco Technology, Inc.Locally adjusted radio frequency coverage maps in wireless networks
US791298222 nov. 200622 mars 2011Trapeze Networks, Inc.Wireless routing selection system and method
US791670522 août 200729 mars 2011Cisco Technology, Inc.Method, apparatus, and software product for detecting rogue access points in a wireless network
US7933605 *18 janv. 200726 avr. 2011Motorola Solutions, Inc.Method and system, with component kits for designing or deploying a communications network which considers frequency dependent effects
US793362823 juin 200626 avr. 2011Ruckus Wireless, Inc.Transmission and reception parameter control
US796525223 oct. 200921 juin 2011Ruckus Wireless, Inc.Dual polarization antenna array with increased wireless coverage
US796602112 sept. 200721 juin 2011Cisco Systems, Inc.Enhanced wireless node location using differential signal strength metric
US79836675 oct. 200619 juil. 2011Cisco Technology, Inc.Radio frequency coverage map generation in wireless networks
US80096441 déc. 200630 août 2011Ruckus Wireless, Inc.On-demand services by wireless base station virtualization
US8019352 *22 juil. 200513 sept. 2011Wireless Valley Communications, Inc.System, method, and apparatus for determining and using the position of wireless devices or infrastructure for wireless network enhancements
US803112923 oct. 20094 oct. 2011Ruckus Wireless, Inc.Dual band dual polarization antenna array
US806010214 déc. 200415 nov. 2011Bce Inc.System and method for coverage analysis in a wireless network
US80680687 avr. 200829 nov. 2011Ruckus Wireless, Inc.Coverage antenna apparatus with selectable horizontal and vertical polarization elements
US807295216 oct. 20076 déc. 2011Juniper Networks, Inc.Load balancing
US80770797 nov. 200513 déc. 2011Cisco Technology, Inc.Radiolocation using path loss data
US80899498 mars 20103 janv. 2012Ruckus Wireless, Inc.Distributed access point for IP based communications
US8112261 *31 mars 20087 févr. 2012Gm Global Technology Operations, Llc.Methods and simulation tools for predicting GPS performance in the broad operating environment
US811627521 mai 201014 févr. 2012Trapeze Networks, Inc.System and network for wireless network monitoring
US812597516 nov. 200728 févr. 2012Ruckus Wireless, Inc.Communications throughput with unicast packet transmission alternative
US814010427 janv. 200920 mars 2012Cisco Technology, Inc.Rapid search for optimal wireless network configuration
US815035728 mars 20083 avr. 2012Trapeze Networks, Inc.Smoothing filter for irregular update intervals
US816127810 mars 200917 avr. 2012Trapeze Networks, Inc.System and method for distributing keys in a wireless network
US817553922 déc. 20108 mai 2012Cisco Technology, Inc.System and method for management of a shared frequency band
US82002428 avr. 201112 juin 2012Cisco Technology, Inc.Enhanced wireless node location using differential signal strength metric
US820451229 juil. 200819 juin 2012Cisco TechnologyWireless node location mechanism featuring definition of search region to optimize location computation
US821784313 mars 200910 juil. 2012Ruckus Wireless, Inc.Adjustment of radiation patterns utilizing a position sensor
US82184499 juil. 200910 juil. 2012Trapeze Networks, Inc.System and method for remote monitoring in a wireless network
US822479410 sept. 200817 juil. 2012Rappaport Theodore SClearinghouse system, method, and process for inventorying and acquiring infrastructure, monitoring and controlling network performance for enhancement, and providing localized content in communication networks
US823829815 sept. 20087 août 2012Trapeze Networks, Inc.Picking an optimal channel for an access point in a wireless network
US823894221 nov. 20077 août 2012Trapeze Networks, Inc.Wireless station location detection
US825058726 oct. 200621 août 2012Trapeze Networks, Inc.Non-persistent and persistent information setting method and system for inter-process communication
US826440218 nov. 201111 sept. 2012Cisco Technology, Inc.Radiolocation using path loss data
US827040822 juin 200918 sept. 2012Trapeze Networks, Inc.Identity-based networking
US827203628 juil. 201018 sept. 2012Ruckus Wireless, Inc.Dynamic authentication in secured wireless networks
US829049925 avr. 201116 oct. 2012Wireless Valley Communications Inc.Method and system to model frequency dependent effects of a communciations network
US831474922 sept. 201120 nov. 2012Ruckus Wireless, Inc.Dual band dual polarization antenna array
US83319777 févr. 201211 déc. 2012Cisco Technology, Inc.Rapid search for optimal wireless network configuration
US834011024 août 200725 déc. 2012Trapeze Networks, Inc.Quality of service provisioning for wireless networks
US835534311 janv. 200815 janv. 2013Ruckus Wireless, Inc.Determining associations in a mesh network
US8428171 *16 mars 201023 avr. 2013Actix GmbhMethod for approximating and optimizing gains in capacity and coverage resulting from deployment of multi-antennas in cellular radio networks
US84468904 nov. 201121 mai 2013Juniper Networks, Inc.Load balancing
US845703111 janv. 20064 juin 2013Trapeze Networks, Inc.System and method for reliable multicast
US847402330 mai 200825 juin 2013Juniper Networks, Inc.Proactive credential caching
US850333620 juil. 20056 août 2013Wireless Valley Communications, IncSystem and method for design, tracking, measurement, prediction and optimization of data communication networks
US85091287 janv. 200813 août 2013Trapeze Networks, Inc.High level instruction convergence function
US851482714 févr. 201220 août 2013Trapeze Networks, Inc.System and network for wireless network monitoring
US85159256 juin 201220 août 2013Theodore S. RappaportClearinghouse system, method, and process for inventorying and acquiring infrastructure, monitoring and controlling network performance for enhancement, and providing localized content in communication networks
US853249229 juil. 201110 sept. 2013Corning Cable Systems LlcOptical fiber-based distributed antenna systems, components, and related methods for calibration thereof
US854789928 juil. 20081 oct. 2013Ruckus Wireless, Inc.Wireless network throughput enhancement through channel aware scheduling
US854833028 oct. 20101 oct. 2013Corning Cable Systems LlcSectorization in distributed antenna systems, and related components and methods
US857211714 juin 201029 oct. 2013Theodore S. RappaportClearinghouse system and method for gaining access to use properties for carrier-based services
US858179021 oct. 200912 nov. 2013Trapeze Networks, Inc.Tuned directional antennas
US858318326 oct. 201112 nov. 2013Ruckus Wireless, Inc.Transmission and reception parameter control
US85947347 oct. 200926 nov. 2013Ruckus Wireless, Inc.Transmission and reception parameter control
US860569726 juil. 201110 déc. 2013Ruckus Wireless, Inc.On-demand services by wireless base station virtualization
US860731521 août 201210 déc. 2013Ruckus Wireless, Inc.Dynamic authentication in secured wireless networks
US86196622 nov. 201031 déc. 2013Ruckus Wireless, Inc.Unicast to multicast conversion
US8630656 *23 janv. 200414 janv. 2014Cambridge Positioning Systems LimitedMethod and system for locating a mobile radio receiver in a radio system with multiple transmitters
US863440217 nov. 201121 janv. 2014Ruckus Wireless, Inc.Distributed access point for IP based communications
US863544416 avr. 201221 janv. 2014Trapeze Networks, Inc.System and method for distributing keys in a wireless network
US86387087 mars 201028 janv. 2014Ruckus Wireless, Inc.MAC based mapping in IP based communications
US86387628 févr. 200628 janv. 2014Trapeze Networks, Inc.System and method for network integrity
US863912127 août 201228 janv. 2014Corning Cable Systems LlcRadio-over-fiber (RoF) system for protocol-independent wired and/or wireless communication
US864484421 déc. 20084 févr. 2014Corning Mobileaccess Ltd.Extending outdoor location based services and applications into enclosed areas
US867038314 janv. 201111 mars 2014Trapeze Networks, Inc.System and method for aggregation and queuing in a wireless network
US867072520 août 200711 mars 2014Ruckus Wireless, Inc.Closed-loop automatic channel selection
US868690531 déc. 20121 avr. 2014Ruckus Wireless, Inc.Pattern shaping of RF emission patterns
US869867521 août 200915 avr. 2014Ruckus Wireless, Inc.Mountable antenna elements for dual band antenna
US870472024 oct. 201122 avr. 2014Ruckus Wireless, Inc.Coverage antenna apparatus with selectable horizontal and vertical polarization elements
US87184785 avr. 20126 mai 2014Corning Cable Systems LlcHybrid wireless/wired RoF transponder and hybrid RoF communication system using same
US872374131 mai 201213 mai 2014Ruckus Wireless, Inc.Adjustment of radiation patterns utilizing a position sensor
US872570014 juin 201013 mai 2014Theodore S. RappaportClearinghouse systems and methods for collecting or providing quality or performance data for enhanced availability of wireless communications
US87566689 févr. 201217 juin 2014Ruckus Wireless, Inc.Dynamic PSK for hotspots
US87807607 janv. 201315 juil. 2014Ruckus Wireless, Inc.Determining associations in a mesh network
US879241428 avr. 200629 juil. 2014Ruckus Wireless, Inc.Coverage enhancement using dynamic antennas
US8798964 *6 nov. 20025 août 2014Hewlett-Packard Development Company, L. P.Methods and apparatus for designing the racking and wiring configurations for pieces of hardware
US881832211 mai 200726 août 2014Trapeze Networks, Inc.Untethered access point mesh system and method
US882435713 juil. 20122 sept. 2014Ruckus Wireless, Inc.Throughput enhancement by acknowledgment suppression
US883142823 août 20129 sept. 2014Corning Optical Communications LLCDynamic cell bonding (DCB) for radio-over-fiber (RoF)-based networks and communication systems and related methods
US883660617 oct. 201216 sept. 2014Ruckus Wireless, Inc.Coverage antenna apparatus with selectable horizontal and vertical polarization elements
US886062920 nov. 201214 oct. 2014Ruckus Wireless, Inc.Dual band dual polarization antenna array
US886791927 janv. 201221 oct. 2014Corning Cable Systems LlcMulti-port accumulator for radio-over-fiber (RoF) wireless picocellular systems
US887358517 déc. 200728 oct. 2014Corning Optical Communications Wireless LtdDistributed antenna system for MIMO technologies
US88972157 févr. 201025 nov. 2014Corning Optical Communications Wireless LtdCommunication system using cables carrying ethernet signals
US89029047 sept. 20072 déc. 2014Trapeze Networks, Inc.Network assignment based on priority
US891389210 sept. 201316 déc. 2014Coring Optical Communications LLCSectorization in distributed antenna systems, and related components and methods
US892326513 nov. 201330 déc. 2014Ruckus Wireless, Inc.On-demand services by wireless base station virtualization
US896474712 févr. 200924 févr. 2015Trapeze Networks, Inc.System and method for restricting network access using forwarding databases
US89660186 janv. 201024 févr. 2015Trapeze Networks, Inc.Automated network device configuration and network deployment
US897810516 déc. 200810 mars 2015Trapeze Networks, Inc.Affirming network relationships and resource access via related networks
US898330127 sept. 201217 mars 2015Corning Optical Communications LLCLocalization services in optical fiber-based distributed communications components and systems, and related methods
US901916523 oct. 200728 avr. 2015Ruckus Wireless, Inc.Antenna with selectable elements for use in wireless communications
US901988613 déc. 201328 avr. 2015Ruckus Wireless, Inc.Unicast to multicast conversion
US90371438 févr. 201319 mai 2015Corning Optical Communications LLCRemote antenna clusters and related systems, components, and methods supporting digital data signal propagation between remote antenna units
US90427325 mars 201326 mai 2015Corning Optical Communications LLCProviding digital data services in optical fiber-based distributed radio frequency (RF) communication systems, and related components and methods
US906615221 janv. 201423 juin 2015Ruckus Wireless, Inc.Distributed access point for IP based communications
US907158323 avr. 200730 juin 2015Ruckus Wireless, Inc.Provisioned configuration for automatic wireless connection
US907194214 nov. 201330 juin 2015Ruckus Wireless, Inc.MAC based mapping in IP based communications
US90770711 févr. 20117 juil. 2015Ruckus Wireless, Inc.Antenna with polarization diversity
US90926104 avr. 201228 juil. 2015Ruckus Wireless, Inc.Key assignment for a brand
US909375816 sept. 201428 juil. 2015Ruckus Wireless, Inc.Coverage antenna apparatus with selectable horizontal and vertical polarization elements
US911261112 juin 201318 août 2015Corning Optical Communications LLCOptical fiber-based distributed antenna systems, components, and related methods for calibration thereof
US913061329 août 20128 sept. 2015Corning Optical Communications Wireless LtdDistributed antenna system for MIMO technologies
US913137813 nov. 20138 sept. 2015Ruckus Wireless, Inc.Dynamic authentication in secured wireless networks
US915387621 août 20096 oct. 2015Ruckus Wireless, Inc.Transmission and reception parameter control
US915886421 déc. 201213 oct. 2015Corning Optical Communications Wireless LtdSystems, methods, and devices for documenting a location of installed equipment
US91786353 janv. 20143 nov. 2015Corning Optical Communications Wireless LtdSeparation of communication signal sub-bands in distributed antenna systems (DASs) to reduce interference
US918484324 oct. 201310 nov. 2015Corning Optical Communications LLCDetermining propagation delay of communications in distributed antenna systems, and related components, systems, and methods
US918496025 sept. 201410 nov. 2015Corning Optical Communications Wireless LtdFrequency shifting a communications signal(s) in a multi-frequency distributed antenna system (DAS) to avoid or reduce frequency interference
US918567424 sept. 201310 nov. 2015Corning Cable Systems LlcApparatuses, systems, and methods for determining location of a mobile device(s) in a distributed antenna system(s)
US919179910 nov. 200617 nov. 2015Juniper Networks, Inc.Sharing data between wireless switches system and method
US92198793 janv. 201422 déc. 2015Corning Optical Communications LLCRadio-over-fiber (ROF) system for protocol-independent wired and/or wireless communication
US92261462 juin 201429 déc. 2015Ruckus Wireless, Inc.Dynamic PSK for hotspots
US924083525 oct. 201319 janv. 2016Corning Optical Communications LLCSystems, methods, and devices for increasing radio frequency (RF) power in distributed antenna systems
US92408684 nov. 200519 janv. 2016Ruckus Wireless, Inc.Increasing reliable data throughput in a wireless network
US924754323 juil. 201326 janv. 2016Corning Optical Communications Wireless LtdMonitoring non-supported wireless spectrum within coverage areas of distributed antenna systems (DASs)
US925300312 août 20152 févr. 2016Corning Optical Communications Wireless LtdFrequency shifting a communications signal(S) in a multi-frequency distributed antenna system (DAS) to avoid or reduce frequency interference
US925805216 sept. 20149 févr. 2016Corning Optical Communications LLCReducing location-dependent interference in distributed antenna systems operating in multiple-input, multiple-output (MIMO) configuration, and related components, systems, and methods
US925870211 juin 20079 févr. 2016Trapeze Networks, Inc.AP-local dynamic switching
US92700291 avr. 201423 févr. 2016Ruckus Wireless, Inc.Pattern shaping of RF emission patterns
US927037413 mai 201523 févr. 2016Corning Optical Communications LLCProviding digital data services in optical fiber-based distributed radio frequency (RF) communications systems, and related components and methods
US927132716 sept. 201323 févr. 2016Ruckus Wireless, Inc.Wireless network throughput enhancement through channel aware scheduling
US931293819 févr. 200812 avr. 2016Corning Optical Communications Wireless LtdMethod and system for improving uplink performance
US931379830 déc. 201412 avr. 2016Ruckus Wireless, Inc.On-demand services by wireless base station virtualization
US931913821 août 201419 avr. 2016Corning Optical Communications LLCDynamic cell bonding (DCB) for radio-over-fiber (RoF)-based networks and communication systems and related methods
US932542915 août 201326 avr. 2016Corning Optical Communications LLCProviding digital data services as electrical signals and radio-frequency (RF) communications over optical fiber in distributed communications systems, and related components and methods
US933882315 sept. 201410 mai 2016Corning Optical Communications Wireless LtdRadio-frequency integrated circuit (RFIC) chip(s) for providing distributed antenna system functionalities, and related components, systems, and methods
US934416117 sept. 200917 mai 2016Ruckus Wireless, Inc.Coverage enhancement using dynamic antennas and virtual access points
US935067022 avr. 201424 mai 2016International Business Machines CorporationNetwork load estimation and prediction for cellular networks
US935755130 mai 201431 mai 2016Corning Optical Communications Wireless LtdSystems and methods for simultaneous sampling of serial digital data streams from multiple analog-to-digital converters (ADCS), including in distributed antenna systems
US93692229 nov. 201514 juin 2016Corning Optical Communications LLCDetermining propagation delay of communications in distributed antenna systems, and related components, systems, and methods
US937945615 avr. 201328 juin 2016Ruckus Wireless, Inc.Antenna array
US938581023 sept. 20145 juil. 2016Corning Optical Communications Wireless LtdConnection mapping in distributed communication systems
US940701221 sept. 20102 août 2016Ruckus Wireless, Inc.Antenna with dual polarization and mountable antenna elements
US941419221 sept. 20159 août 2016Corning Optical Communications Wireless LtdSystems, methods, and devices for documenting a location of installed equipment
US941934415 avr. 201416 août 2016Ruckus Wireless, Inc.Mountable antenna elements for dual band antenna
US94197124 sept. 201516 août 2016Ccs Technology, Inc.Power management for remote antenna units in distributed antenna systems
US942054225 sept. 201416 août 2016Corning Optical Communications Wireless LtdSystem-wide uplink band gain control in a distributed antenna system (DAS), based on per band gain control of remote uplink paths in remote units
US945578425 oct. 201327 sept. 2016Corning Optical Communications Wireless LtdDeployable wireless infrastructures and methods of deploying wireless infrastructures
US945631222 avr. 201427 sept. 2016International Business Machines CorporationCorrelating road network information and user mobility information for wireless communication network planning
US948463829 déc. 20111 nov. 2016Ruckus Wireless, Inc.Transmission and reception parameter control
US948502211 déc. 20151 nov. 2016Corning Optical Communications LLCRadio-over-fiber (ROF) system for protocol-independent wired and/or wireless communication
US949764830 avr. 201415 nov. 2016International Business Machines CorporationDetecting cellular connectivity issues in a wireless communication network
US949770620 févr. 201315 nov. 2016Corning Optical Communications Wireless LtdPower management in distributed antenna systems (DASs), and related components, systems, and methods
US950332931 mars 201622 nov. 2016International Business Machines CorporationCorrelating road network information and user mobility information for wireless communication network planning
US950913327 juin 201429 nov. 2016Corning Optical Communications Wireless LtdProtection of distributed antenna systems
US951585518 janv. 20166 déc. 2016Corning Optical Communications Wireless LtdFrequency shifting a communications signal(s) in a multi-frequency distributed antenna system (DAS) to avoid or reduce frequency interference
US952547230 juil. 201420 déc. 2016Corning IncorporatedReducing location-dependent destructive interference in distributed antenna systems (DASS) operating in multiple-input, multiple-output (MIMO) configuration, and related components, systems, and methods
US952548811 févr. 201120 déc. 2016Corning Optical Communications LLCDigital data services and/or power distribution in optical fiber-based distributed communications systems providing digital data and radio frequency (RF) communications services, and related components and methods
US952602017 déc. 201520 déc. 2016Corning Optical Communications Wireless LtdMonitoring non-supported wireless spectrum within coverage areas of distributed antenna systems (DASs)
US953145226 mai 201527 déc. 2016Corning Optical Communications LLCHybrid intra-cell / inter-cell remote unit antenna bonding in multiple-input, multiple-output (MIMO) distributed antenna systems (DASs)
US954930130 oct. 201217 janv. 2017Corning Optical Communications Wireless LtdMethod and system for real time control of an active antenna over a distributed antenna system
US95707997 sept. 201214 févr. 2017Ruckus Wireless, Inc.Multiband monopole antenna apparatus with ground plane aperture
US957734618 sept. 200821 févr. 2017Ruckus Wireless, Inc.Vertical multiple-input multiple-output wireless antennas
US959073324 juil. 20097 mars 2017Corning Optical Communications LLCLocation tracking using fiber optic array cables and related systems and methods
US959660528 déc. 201514 mars 2017Ruckus Wireless, Inc.Dynamic PSK for hotspots
US960221016 sept. 201521 mars 2017Corning Optical Communications Wireless LtdFlexible head-end chassis supporting automatic identification and interconnection of radio interface modules and optical interface modules in an optical fiber-based distributed antenna system (DAS)
US962129319 janv. 201511 avr. 2017Corning Optical Communications Wireless LtdDistribution of time-division multiplexed (TDM) management services in a distributed antenna system, and related components, systems, and methods
US963440314 févr. 201225 avr. 2017Ruckus Wireless, Inc.Radio frequency emission pattern shaping
US964775821 nov. 20139 mai 2017Corning Optical Communications Wireless LtdCabling connectivity monitoring and verification
US964858030 sept. 20169 mai 2017Corning Optical Communications Wireless LtdIdentifying remote units in a wireless distribution system (WDS) based on assigned unique temporal delay patterns
US965386114 sept. 201516 mai 2017Corning Optical Communications Wireless LtdInterconnection of hardware components
US966086231 mars 201423 mai 2017International Business Machines CorporationLocalizing faults in wireless communication networks
US966147523 juin 201523 mai 2017Ruckus Wireless, Inc.Distributed access point for IP based communications
US966178128 juil. 201423 mai 2017Corning Optical Communications Wireless LtdRemote units for distributed communication systems and related installation methods and apparatuses
US967390411 août 20156 juin 2017Corning Optical Communications LLCOptical fiber-based distributed antenna systems, components, and related methods for calibration thereof
US967486222 févr. 20166 juin 2017Ruckus Wireless, Inc.Wireless network throughput enhancement through channel aware scheduling
US968131315 avr. 201513 juin 2017Corning Optical Communications Wireless LtdOptimizing remote antenna unit performance using an alternative data channel
US96840605 nov. 201420 juin 2017CorningOptical Communications LLCUltrasound-based localization of client devices with inertial navigation supplement in distributed communication systems and related devices and methods
US968578221 mai 201320 juin 2017Corning Optical Communications LLCPower distribution module(s) capable of hot connection and/or disconnection for distributed antenna systems, and related power units, components, and methods
US96997234 sept. 20154 juil. 2017Ccs Technology, Inc.Local power management for remote antenna units in distributed antenna systems
US9712975 *30 janv. 201518 juil. 2017Aruba Networks, Inc.System and method for displaying mobility trails for mobile clients
US97151578 déc. 201525 juil. 2017Corning Optical Communications Wireless LtdVoltage controlled optical directional coupler
US972350215 sept. 20161 août 2017International Business Machines CorporationDetecting cellular connectivity issues in a wireless communication network
US97292383 oct. 20168 août 2017Corning Optical Communications LLCRadio-over-fiber (ROF) system for protocol-independent wired and/or wireless communication
US97292514 sept. 20158 août 2017Corning Optical Communications LLCCooling system control in distributed antenna systems
US97292678 déc. 20158 août 2017Corning Optical Communications Wireless LtdMultiplexing two separate optical links with the same wavelength using asymmetric combining and splitting
US973022829 août 20148 août 2017Corning Optical Communications Wireless LtdIndividualized gain control of remote uplink band paths in a remote unit in a distributed antenna system (DAS), based on combined uplink power level in the remote unit
US976322010 août 201612 sept. 2017International Business Machines CorporationCorrelating road network information and user mobility information for wireless communication network planning
US976965526 juin 201519 sept. 2017Ruckus Wireless, Inc.Sharing security keys with headless devices
US977512325 mars 201526 sept. 2017Corning Optical Communications Wireless Ltd.Individualized gain control of uplink paths in remote units in a distributed antenna system (DAS) based on individual remote unit contribution to combined uplink power
US978081311 févr. 20143 oct. 2017Ruckus Wireless, Inc.Closed-loop automatic channel selection
US978155319 avr. 20133 oct. 2017Corning Optical Communications LLCLocation based services in a distributed communication system, and related components and methods
US9781608 *2 mars 20103 oct. 2017Thomson LicensingMethod for configuring a wireless network
US97851757 déc. 201510 oct. 2017Corning Optical Communications Wireless, Ltd.Combining power from electrically isolated power paths for powering remote units in a distributed antenna system(s) (DASs)
US978827916 août 201610 oct. 2017Corning Optical Communications Wireless LtdSystem-wide uplink band gain control in a distributed antenna system (DAS), based on per-band gain control of remote uplink paths in remote units
US97921881 mai 201217 oct. 2017Ruckus Wireless, Inc.Remote cable access point reset
US979475822 déc. 201517 oct. 2017Ruckus Wireless, Inc.Increasing reliable data throughput in a wireless network
US980034021 avr. 201624 oct. 2017Corning Optical Communications Wireless LtdUnified optical fiber-based distributed antenna systems (DASs) for supporting small cell communications deployment from multiple small cell service providers, and related devices and methods
US980679723 sept. 201531 oct. 2017Corning Optical Communications LLCSystems, methods, and devices for increasing radio frequency (RF) power in distributed antenna systems
US980770012 févr. 201631 oct. 2017Corning Optical Communications Wireless LtdOffsetting unwanted downlink interference signals in an uplink path in a distributed antenna system (DAS)
US980772210 juin 201631 oct. 2017Corning Optical Communications LLCDetermining propagation delay of communications in distributed antenna systems, and related components, systems, and methods
US980777229 avr. 201631 oct. 2017Corning Optical Communications Wireless Ltd.Systems and methods for simultaneous sampling of serial digital data streams from multiple analog-to-digital converters (ADCs), including in distributed antenna systems
US981312718 janv. 20167 nov. 2017Corning Optical Communications LLCReducing location-dependent interference in distributed antenna systems operating in multiple-input, multiple-output (MIMO) configuration, and related components, systems, and methods
US981316424 oct. 20167 nov. 2017Corning Optical Communications LLCProviding digital data services as electrical signals and radio-frequency (RF) communications over optical fiber in distributed communications systems, and related components and methods
US981322922 nov. 20137 nov. 2017Corning Optical Communications Wireless LtdCommunication system using low bandwidth wires
US20020002046 *28 juin 20013 janv. 2002Nec CorporationPropagation environment notification methods and notification systems in radio communication systems, and record media recording control programs thereof
US20020129138 *3 août 200112 sept. 2002Intersil CorporationWireless network site survey tool
US20020183982 *26 mars 20015 déc. 2002Rauscher Thomas C.Design and estimating tools for the design of communication infrastructure in a structure
US20030014233 *17 sept. 200216 janv. 2003Rappaport Theodore S.System for the three-dimensional display of wireless communication system performance
US20030171391 *21 janv. 200311 sept. 2003Boehringer Ingelheim Pharma Gmbh & Co. KgAmbroxol for the treatment of chronic pain
US20030198200 *18 sept. 200223 oct. 2003Cognio, Inc.System and Method for Spectrum Management of a Shared Frequency Band
US20040028003 *22 avr. 200312 févr. 2004Diener Neil R.System and method for management of a shared frequency band
US20040047324 *15 août 200311 mars 2004Diener Neil R.System and method for management of a shared frequency band using client--specific management techniques
US20040088145 *6 nov. 20026 mai 2004Rosenthal Richard EdwinMethods and apparatus for designing the racking and wiring configurations for pieces of hardware
US20040137915 *19 nov. 200315 juil. 2004Diener Neil R.Server and multiple sensor system for monitoring activity in a shared radio frequency band
US20040171390 *2 mars 20042 sept. 2004Interdigital Technology CorporationCognition models for wireless communication systems and method and apparatus for optimal utilization of a radio channel based on cognition model data
US20040180665 *10 avr. 200116 sept. 2004Laslo SlawitschkaMethod for planning mobile radio coverage inside buildings
US20040252288 *2 juil. 200416 déc. 2004Kacyra Ben K.Advanced applications for 3-D autoscanning lidar system
US20050048987 *28 août 20033 mars 2005Glass Andrew C.Multi-dimensional graphical display of discovered wireless devices
US20050073980 *17 sept. 20037 avr. 2005Trapeze Networks, Inc.Wireless LAN management
US20050073983 *2 août 20047 avr. 2005Diener Neil R.Automated real-time site survey in a shared frequency band environment
US20050143077 *24 déc. 200330 juin 2005Hugo CharbonneauSystem and method for designing a communications network
US20050163085 *24 déc. 200328 juil. 2005International Business Machines CorporationSystem and method for autonomic wireless presence ping
US20050171720 *28 janv. 20044 août 2005Olson Timothy S.Method, apparatus, and software product for detecting rogue access points in a wireless network
US20050185618 *20 févr. 200425 août 2005Friday Robert J.Wireless node location mechanism using antenna pattern diversity to enhance accuracy of location estimates
US20050190732 *1 mars 20041 sept. 2005Cisco Technology, Inc.Quality evaluation for wireless communication networks
US20050195109 *5 mars 20048 sept. 2005Davi Gregg S.Wireless node location mechanism responsive to observed propagation characteristics of wireless network infrastructure signals
US20050197136 *27 févr. 20048 sept. 2005Friday Robert J.Selective termination of wireless connections to refresh signal information in wireless node location infrastructure
US20050208952 *16 mars 200422 sept. 2005Dietrich Paul FLocation of wireless nodes using signal strength weighting metric
US20050227625 *29 sept. 200413 oct. 2005Diener Neil RUser interface and time-shifted presentation of data in a system that monitors activity in a shared radio frequency band
US20050261004 *18 mai 200424 nov. 2005Dietrich Paul FWireless node location mechanism featuring definition of search region to optimize location computation
US20060019679 *22 juil. 200526 janv. 2006Rappaport Theodore SSystem, method, and apparatus for determining and using the position of wireless devices or infrastructure for wireless network enhancements
US20060046737 *2 sept. 20042 mars 2006Cisco Technology, Inc.Rapid search for optimal wireless network configuration
US20060069526 *7 nov. 200530 mars 2006Kaiser Daryl ARadiolocation using path loss data
US20060075131 *22 nov. 20056 avr. 2006Douglas Bretton LTag location,client location, and coverage hole location in a wireless network
US20060128372 *14 déc. 200415 juin 2006Gazzola James PSystem and method for coverage analysis in a wireless network
US20060217122 *20 mars 200628 sept. 2006Newfield Wireless, Inc.Methods for interactive, real-time adjustments of antenna and other network state elements in a wireless network
US20060227751 *8 avr. 200512 oct. 2006Theobold David MRadio plan generator
US20060258347 *7 juil. 200616 nov. 2006Interdigital Technology CorporationCognition models for wireless communication systems and method and apparatus for optimal utilization of a radio channel based on cognition model data
US20060274684 *8 août 20067 déc. 2006Diener Neil RAutomated real-time site survey in a shared frequency band environment
US20070001867 *23 janv. 20044 janv. 2007Rowe Robert WMethod and system for locating a mobile radio receiver in a radio system with multiple transmitters
US20070025287 *28 juil. 20051 févr. 2007Goren David PMethod and system for determining existence of a predetermined wireless network coverage condition in a wireless network
US20070049319 *1 sept. 20051 mars 2007Brian HartRadio planning for WLANS
US20070064784 *18 déc. 200322 mars 2007Dehghan Shirin FCommunication network and method for simulating or designing thereof
US20070086397 *5 janv. 200619 avr. 2007Ron TaylorSystem and method for remote monitoring in a wireless network
US20070106717 *23 févr. 200610 mai 2007Baris DundarRadio frequency planning with consideration of inter-building effects
US20070117567 *18 janv. 200724 mai 2007Wireless Valley Communications, Inc.Method and system, with component kits for designing or deploying a communications network which considers frequency dependent effects
US20070197225 *23 févr. 200623 août 2007Baris DundarSignal source data input for radio frequency planning
US20070198227 *23 févr. 200623 août 2007Baris DundarMethod and apparatus for automated characterization of objects with unknown RF characteristics
US20070225039 *21 mai 200727 sept. 2007Friday Robert JWireless Node Location Mechanism Using Antenna Pattern Diversity to Enhance Accuracy of Location Estimates
US20070286143 *22 août 200713 déc. 2007Olson Timothy SMethod, apparatus, and software product for detecting rogue access points in a wireless network
US20080004042 *12 sept. 20073 janv. 2008Dietrich Paul FEnhanced Wireless Node Location using Differential Signal Strength Metric
US20080026765 *10 août 200731 janv. 2008Hugo CharbonneauTool for Multi-Technology Distributed Antenna Systems
US20080075051 *17 janv. 200727 mars 2008Baris DundarMethods, apparatus and articles for radio frequency planning
US20080080389 *3 oct. 20063 avr. 2008Hart Richard DMethods and apparatus to develop management rules for qualifying broadband services
US20080080429 *3 oct. 20063 avr. 2008Cisco Technology, Inc.Minimum variance location estimation in wireless networks
US20080084858 *4 oct. 200610 avr. 2008Cisco Technology, Inc.Relative location of a wireless node in a wireless network
US20080090563 *5 déc. 200717 avr. 2008Interdigital Technology CorporationMethod and apparatus for optimal utilization of a radio channel based on cognition model data
US20080123554 *27 févr. 200729 mai 2008Institute For Information IndustryDeploying apparatus, method, and computer readable medium thereof for deploying a network in a space
US20080166973 *4 janv. 200710 juil. 2008Cisco Technology, Inc.Locally Adjusted Radio Frequency Coverage Maps in Wireless Networks
US20080200117 *19 févr. 200821 août 2008Yair OrenMethod and system for improving uplink performance
US20080201112 *19 févr. 200721 août 2008Mario BouchardNetwork design method and system therefor
US20080285462 *18 mai 200720 nov. 2008Baker Steven DMethod to ensure that life-critical data is transported effectively and safely
US20090018810 *10 juil. 200715 janv. 2009Toyota Motor Engineering & Manufacturing North America, Inc.Method for determining a sky view of an antenna
US20090046625 *1 août 200819 févr. 2009Diener Neil RSystem and Method for Management of a Shared Frequency Band
US20090070379 *10 sept. 200812 mars 2009Rappaport Theodore RClearinghouse system, method, and process for inventorying and acquiring infrastructure, monitoring and controlling network performance for enhancement, and providing localized content in communication networks
US20090094492 *4 oct. 20079 avr. 2009Veriwave, Inc.Channel impairment emulator systems and methods
US20090168712 *27 janv. 20092 juil. 2009Cisco Technology, Inc.Rapid search for optimal wireless network configuration
US20090243914 *31 mars 20081 oct. 2009General Motors CorporationMethods and Simulation Tools for Predicting GPS Performance in the Broad Operating Environment
US20100232529 *16 mars 201016 sept. 2010Actix GmbhMethod for approximating and optimizing gains in capacity and coverage resulting from deployment of multi-antennas in cellular radio networks
US20100245357 *30 mars 200930 sept. 2010Baris DundarSignal Source Data Input for Radio Frequency Planning
US20100250268 *14 juin 201030 sept. 2010Rappaport Theodore SClearinghouse System and Method for Enhancing the Quality, Operation and Accessibility of Carrier-Based Networks
US20100299274 *14 juin 201025 nov. 2010Rappaport Theodore SClearinghouse System and Method for Carriers, Advertisers, and Content Providers of Carrier-Based Networks
US20110035191 *18 oct. 201010 févr. 2011Kt CoporationMethod and device for calculating quality-value of in-building mobile communication service
US20110055898 *28 juil. 20103 mars 2011Tyan-Shu JouDynamic Authentication in Secured Wireless Networks
US20110090939 *22 déc. 201021 avr. 2011Cisco Technology, Inc.System and Method for Management of a Shared Frequency Band
US20110183688 *8 avr. 201128 juil. 2011Cisco Technology, Inc.Enhanced Wireless Node Location Using Differential Signal Strength Metric
US20120014288 *2 mars 201019 janv. 2012Thomson LicensingMethod for Configuration of a Wireless Network
US20120150573 *13 déc. 201014 juin 2012Omar SoubraReal-time site monitoring design
US20150382148 *30 janv. 201531 déc. 2015Aruba Networks, Inc.System and method for displaying mobility trails for mobile clients
CN103200584A *4 janv. 201210 juil. 2013中兴通讯股份有限公司Correction method and device of indoor propagation model
WO2003021851A2 *5 sept. 200213 mars 2003Newbury Networks, Inc.Position detection and location tracking in a wireless network
WO2003021851A3 *5 sept. 200212 févr. 2004Newbury Networks IncPosition detection and location tracking in a wireless network
WO2003049466A1 *26 nov. 200212 juin 2003Interdigital Technology CorporationMethod and apparatus for optimal utilization of a radio channel based on cognition model data
WO2004066077A3 *16 janv. 200420 sept. 2007Wireless Valley Comm IncDetermining configuration for, and location of, wireless or wired network equipment
WO2005124384A1 *22 juin 200529 déc. 2005École De Tecnologie Supérieure (Ets)Method for characterizing an rf environment of an area
WO2005125039A1 *22 juin 200529 déc. 2005École De Technologie SupérieureMethod for determining the position of an rf transceiver in a known area
WO2006102257A2 *21 mars 200628 sept. 2006Newfield Wireless, Inc.Methods for interactive, real-time adjustments of antenna and other network state elements in a wireless network
WO2006102257A3 *21 mars 200625 oct. 2007Newfield Wireless IncMethods for interactive, real-time adjustments of antenna and other network state elements in a wireless network
Classifications
Classification aux États-Unis455/446, 703/3, 455/424, 703/2, 703/21, 703/22
Classification internationaleG01F23/00, H04W16/20, H04W16/18
Classification coopérativeG01F23/0061, H04W16/20
Classification européenneH04W16/20, G01F23/00G
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